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Paper Citation Record · LEDGER

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 60 inbound Pith citation observations for arXiv:2208.12242.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2208.12242 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 60 of 60 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:11:00.089148Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T18:36:27.290071Z

Reference resolution

0 of 0 outbound references displayed

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Outbound references

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Pith citing papers

Observation f40bd269-2277-4ffd-bce7-4fe08c818114 · inbound

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) cites this paper.

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 192

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arxiv_id, observed 2026-05-24T10:34:20.580887Z

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Observation c6899938-8966-40d4-87cb-2d95bea1aae7 · inbound

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers cites this paper.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 62

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arxiv_id, observed 2026-05-15T01:44:22.816531Z

Source-reported events for the cited work

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Observation 9119fcf0-f62c-499d-b9a8-cc203104cafb · inbound

Adding Conditional Control to Text-to-Image Diffusion Models cites this paper.

Adding Conditional Control to Text-to-Image Diffusion Models DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 75

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Observation b8b29dce-83aa-4e23-9f6f-e2ea5b5260ce · inbound

Aligning Text-to-Image Models using Human Feedback cites this paper.

Aligning Text-to-Image Models using Human Feedback DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 16

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arxiv_id, observed 2026-05-14T20:39:15.526778Z

Source-reported events for the cited work

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Observation 834ec69b-f955-4457-82c4-01d3e10b205f · inbound

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows cites this paper.

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 62

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Source-reported events for the cited work

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Observation 1f75794d-586d-4c03-8c3e-51f53bf69433 · inbound

Training Diffusion Models with Reinforcement Learning cites this paper.

Training Diffusion Models with Reinforcement Learning DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 23

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Source-reported events for the cited work

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Observation 5dd90b8b-2919-4721-8cae-f6b6f0d38466 · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 104

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 56de9e51-9e89-489c-8a6a-dcc4a58109e9 · inbound

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation cites this paper.

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 36

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arxiv_id, observed 2026-05-23T20:53:26.513244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 471bb97e-58ff-43fb-b974-1c6256447220 · inbound

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models cites this paper.

Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 24

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Observation 95eb72b1-d468-480e-b955-ee1964891d5d · inbound

Medical Video Generation for Disease Progression Simulation cites this paper.

Medical Video Generation for Disease Progression Simulation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 59

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Observation 1a07610b-3171-4a62-8a41-559d12a7f59d · inbound

MyTimeMachine: Personalized Facial Age Transformation cites this paper.

MyTimeMachine: Personalized Facial Age Transformation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 50

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Observation 55252084-f81a-4e07-bf39-2c659344e7f2 · inbound

AnyText2: Visual Text Generation and Editing With Customizable Attributes cites this paper.

AnyText2: Visual Text Generation and Editing With Customizable Attributes DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 38

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Observation 6f73e29c-1795-45b7-b2e9-73eb2d748ad2 · inbound

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation cites this paper.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 67

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Observation da6bfdc8-92a1-4405-a42a-f298ed9a2251 · inbound

TPIE: Topology-Preserved Image Editing With Text Instructions cites this paper.

TPIE: Topology-Preserved Image Editing With Text Instructions DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 53

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Observation 6f3820c4-3361-427e-bcb2-e8962d71f2bf · inbound

TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On cites this paper.

TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 37

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Observation 2074fd0c-6e0e-4ab5-8bf2-3085152492ea · inbound

PhysMotion: Physics-Grounded Dynamics From a Single Image cites this paper.

PhysMotion: Physics-Grounded Dynamics From a Single Image DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 83

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Observation bd64134c-a707-4b33-a849-c1b1f727f618 · inbound

SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation cites this paper.

SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 10

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Source-reported events for the cited work

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Observation 06835e6b-a2fc-4599-8014-815f9db0bffa · inbound

DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses cites this paper.

DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 54

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Observation eb11ce2b-5685-489e-b6da-fc216bd11c87 · inbound

LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalization cites this paper.

LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalization DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 20

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Observation 795cccb5-5807-4774-99eb-954263c19445 · inbound

TryOffAnyone: Tiled Cloth Generation from a Dressed Person cites this paper.

TryOffAnyone: Tiled Cloth Generation from a Dressed Person DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 29

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Observation dac2127a-4a5d-4cfe-a88c-d22d0ed25973 · inbound

Learning Complex Non-Rigid Image Edits from Multimodal Conditioning cites this paper.

Learning Complex Non-Rigid Image Edits from Multimodal Conditioning DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 23

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Observation 8a20317b-03b5-4233-9001-a19a496b5035 · inbound

Prompt Augmentation for Self-supervised Text-guided Image Manipulation cites this paper.

Prompt Augmentation for Self-supervised Text-guided Image Manipulation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 34

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Observation 569f602c-9d01-4564-9751-240cfd16019d · inbound

Steering Large Text-to-Image Model for Abstract Art Synthesis: Preference-based Prompt Optimization and Visualization cites this paper.

Steering Large Text-to-Image Model for Abstract Art Synthesis: Preference-based Prompt Optimization and Visualization DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 27

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Observation 795bf47b-5f10-4273-8962-be72c6ff7f82 · inbound

Concept Guided Co-salient Object Detection cites this paper.

Concept Guided Co-salient Object Detection DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 31

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Observation 59853e40-7281-40d0-9b57-ef646adf3b15 · inbound

DiffuEraser: A Diffusion Model for Video Inpainting cites this paper.

DiffuEraser: A Diffusion Model for Video Inpainting DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 28

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Generative AI for Vision: A Comprehensive Study of Frameworks and Applications cites this paper.

Generative AI for Vision: A Comprehensive Study of Frameworks and Applications DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 35

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Observation 94c7b934-af23-4b15-9a9a-72a2662187ea · inbound

Secure & Personalized Music-to-Video Generation via CHARCHA cites this paper.

Secure & Personalized Music-to-Video Generation via CHARCHA DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 37

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Observation f73c546e-713f-4bfc-9b0d-11444c745061 · inbound

DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization cites this paper.

DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 63

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Observation 0694dc84-d2ef-4ca8-83fe-29c154e0bec4 · inbound

Style Customization of Text-to-Vector Generation with Image Diffusion Priors cites this paper.

Style Customization of Text-to-Vector Generation with Image Diffusion Priors DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 4

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Observation 5789dafe-bb19-45c7-b297-0546c0202822 · inbound

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation cites this paper.

IMAGE-ALCHEMY: Advancing subject fidelity in personalised text-to-image generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 27

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Observation 0912837b-7be2-4506-9683-7809e2b7c9c2 · inbound

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis cites this paper.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 40

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Observation 3b33e7da-6f89-4eae-9a4d-6f946931842b · inbound

MARBLE: Material Recomposition and Blending in CLIP-Space cites this paper.

MARBLE: Material Recomposition and Blending in CLIP-Space DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 48

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Observation 445a628a-cb3c-466f-90fc-6bf6bc343497 · inbound

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models cites this paper.

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 47

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Observation b630d634-12c6-42a4-a001-ef7605dca687 · inbound

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation cites this paper.

Evaluating Robustness in Latent Diffusion Models via Embedding Level Augmentation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 10

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Observation cbf12fce-37e8-4e84-9902-784469de94be · inbound

VideoMat: Extracting PBR Materials from Video Diffusion Models cites this paper.

VideoMat: Extracting PBR Materials from Video Diffusion Models DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 24

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no resolver link, observed 2026-08-07T04:48:25.188374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:48:25.188374Z digest=sha256:7f5bcec9b1af5820e60289d346550638b6ac326b2f5adb08824c9b6729967377

Observation 6e4f146f-2784-4af2-8e8a-503d755e9b84 · inbound

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning cites this paper.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 40

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no resolver link, observed 2026-08-07T04:29:24.201454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:24.201454Z digest=sha256:116d613f6fda48e32d016b2d65a76207b2080ebf0a1c153b4e36715e6a3f6230

Observation 9e5dad3f-76fa-4798-9c00-bd1ca9795826 · inbound

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images cites this paper.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 25

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no resolver link, observed 2026-08-15T20:09:57.329667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:09:57.329667Z digest=sha256:44bceffcf6b10f0b598f9027501b9c4afea040f5866844974158a91df65af6ca

Observation 1a5e410f-7096-48a5-86f1-b4cb73db275b · inbound

UltraZoom: Generating Gigapixel Images from Regular Photos cites this paper.

UltraZoom: Generating Gigapixel Images from Regular Photos DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 20

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no resolver link, observed 2026-08-07T00:31:46.210878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:46.210878Z digest=sha256:c9b1d3c68ac5ff67c5f3a13154928d7785dac56ce1fb44fc7a4094a586a13b48

Observation 8f303483-a3d2-454a-be45-585c19ca4afc · inbound

Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters cites this paper.

Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 38

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unresolved
no resolver link, observed 2026-08-07T00:28:42.818206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:28:42.818206Z digest=sha256:ea3fd90f594ce1a6731939dfc09e0a644e1ae63dd148cec2adbd7ebe5dc3fbb0

Observation 5c742670-205d-4c43-a25d-b769d567a752 · inbound

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space cites this paper.

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:36:02.138155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T16:36:02.016696Z digest=sha256:a03424bd223afa617533e5d70ed553360bc5dbe3b962309dcaa2d8b151ab5edb

Observation 45b55157-0a43-439e-a2a6-4a78de6d75c9 · inbound

NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation cites this paper.

NSFW-Classifier Guided Prompt Sanitization for Safe Text-to-Image Generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T18:56:13.129952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:56:13.129952Z digest=sha256:89d6acc943bcb5deb0f4481b845944fc87a8411d2e3a9891a41ed33c24bf05de

Observation bf5ca804-8f3a-49ee-b5dd-3bf176ab5dcf · inbound

PrefPaint: Enhancing Medical Image Inpainting through Expert Human Feedback cites this paper.

PrefPaint: Enhancing Medical Image Inpainting through Expert Human Feedback DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 25

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verified exact
arxiv_id, observed 2026-05-19T08:32:11.522877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T08:31:24.549747Z digest=sha256:640f70dfbaedf1235639f0956ec9f4404735674933e150beca56a5fc1694e3a7

Observation c2c6c8f6-ea6e-4d61-90dd-11ae31b898fe · inbound

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation cites this paper.

SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 63

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verified exact
arxiv_id, observed 2026-05-19T08:02:10.382336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T07:59:49.398271Z digest=sha256:df10e2cb8453a3b0e23243422c45ae143926b1ab7ef2f447f893d947bdf0db1b

Observation 7608accf-1952-4b4b-ab0b-34c0de39c584 · inbound

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis cites this paper.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 12

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unresolved
no resolver link, observed 2026-08-06T21:23:10.404492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:10.404492Z digest=sha256:19790ae06fc2ac47f03f77b13f7f053802b31f7a0f56dfcc2e24fc404aa548b1

Observation 99e47732-3c33-44ea-a347-9b8800214bb1 · inbound

Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns cites this paper.

Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 16

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unresolved
no resolver link, observed 2026-08-03T19:59:01.188839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:59:01.188839Z digest=sha256:1b125c3359e9d6b62dd0954736f4d25e349694666a2043bf35719da4d8c04555

Observation fd2657a3-2cd3-443b-9159-d369bfe38514 · inbound

IdGlow: Dynamic Identity Modulation for Multi-Subject Generation cites this paper.

IdGlow: Dynamic Identity Modulation for Multi-Subject Generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-21T13:00:10.041591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T12:56:27.928008Z digest=sha256:3cf14e74f9f0cb0da66e5b8521b198d5614139d0aa095f7789577feae199ac63

Observation 5df52455-8a55-4a4c-b4d2-17f4e624a9c3 · inbound

Pinterest Canvas: Large-Scale Image Generation at Pinterest cites this paper.

Pinterest Canvas: Large-Scale Image Generation at Pinterest DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 28

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unresolved
no resolver link, observed 2026-07-15T13:50:51.666642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:50:51.666642Z digest=sha256:e69a9db4daf6652cf2cabd10ce318dffca2baa867c1da0f1a9f86c86fcd0dbf5

Observation b4fa4075-e8e0-4e99-97bc-abae70b55458 · inbound

Woosh: A Sound Effects Foundation Model cites this paper.

Woosh: A Sound Effects Foundation Model DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 50

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verified exact
arxiv_id, observed 2026-05-13T20:53:15.826603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T20:51:08.144573Z digest=sha256:e9abef8b13dae74b05f31f8f9d924c058f79cb05f477ba02f6697009091a9bc2

Observation 4c22cda1-51d4-4279-8018-3993d87afb81 · inbound

PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios cites this paper.

PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 31

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verified exact
arxiv_id, observed 2026-05-10T14:20:30.500779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T14:16:40.509571Z digest=sha256:f4917df74021d5c381fea2a56217d0d4f733bc951938473402085bc4c730096e

Observation dd3bef9b-e1c8-40e3-b588-ede0e0c43910 · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 131

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metadata mismatch
arxiv_id, observed 2026-07-01T22:36:16.946459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T15:18:17.427707Z digest=sha256:3017ab34cc0186213ed670a13d9986befb25241af462b67ec534fb9521e864d6

Observation cbe9d850-27d5-4995-8f81-fdc074e5552b · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 131

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metadata mismatch
arxiv_id, observed 2026-07-02T23:17:28.835836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-02T23:17:03.456746Z digest=sha256:7caa8ab7888bb9ab5de3d5edf01e6ce0fa8c410a41cbc19db94a228a96457145

Observation 5440cf8b-2edf-476a-b10d-3ae40fb25f66 · inbound

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems cites this paper.

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 110

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metadata mismatch
arxiv_id, observed 2026-07-02T11:16:53.795979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T04:17:18.483765Z digest=sha256:0df2a8ab2d343ad6bf6515d0affcc9e1f0e9f9ffae00d04db51cb151aee9a506

Observation ff404062-bfef-4a0e-b757-95607f0a3063 · inbound

ChronoLock: Protecting Videos from Unauthorized Text-to-Video Personalization cites this paper.

ChronoLock: Protecting Videos from Unauthorized Text-to-Video Personalization DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 9

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verified exact
arxiv_id, observed 2026-07-04T06:19:38.588423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T14:34:52.232360Z digest=sha256:48d4e480cc2add7634dd3b019ae4a9acd54f2d1db3af79f3d75bc2c7b03af375

Observation f62c0668-a88d-4370-a3f0-4984c7169e3b · inbound

MythraGen: Two-Stage Retrieval Augmented Art Generation Framework cites this paper.

MythraGen: Two-Stage Retrieval Augmented Art Generation Framework DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 21

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metadata mismatch
arxiv_id, observed 2026-07-04T10:19:47.207982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T09:01:15.576951Z digest=sha256:585b478c00065e9e22d2d8b88bde19e8625462705c43062b256c807811236337

Observation 750ab94a-e22c-410b-92e9-4fe0230ac636 · inbound

PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models cites this paper.

PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 11

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verified exact
arxiv_id, observed 2026-07-04T10:19:47.292922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T09:00:37.321663Z digest=sha256:1766eafc1658ecff9c0a9eec1edcb2ac4ab974efa87a11413d5f7d8dde1229c0

Observation 4f8dfb56-300a-4a24-8992-e4a4d4cf53b6 · inbound

TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding cites this paper.

TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 31

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no resolver link, observed 2026-07-12T03:56:26.770729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:56:26.770729Z digest=sha256:569f4cb426dc1f721e4c7891c5991b10dd609751afa0b5413862634943f1092c

Observation 245bb2b2-12ed-4aba-84cc-fe3d92dbb734 · inbound

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety cites this paper.

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 78

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no resolver link, observed 2026-07-12T14:28:50.627444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T14:28:50.627444Z digest=sha256:43b69f73bc43bed5c3a54c8cdc80cb7f039676e8e71c820807e10795da1d01fc

Observation 6dcf3f05-e5de-4629-afea-4994e46f2b0b · inbound

Stage-Aware Adaptation and Distribution Calibration for Subject-Driven Personalized Text-to-Image Generation cites this paper.

Stage-Aware Adaptation and Distribution Calibration for Subject-Driven Personalized Text-to-Image Generation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-09T18:36:27.291291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-09T18:29:15.193599Z digest=sha256:024a678f34f23b0210aa35a1f6f08595412b2e1778a296008a11efb0086ca535

Observation e655a0e0-6f07-4e86-9674-4e38bdcfabba · inbound

MicroZoom: Structure-Preserving Detail Synthesis at Extreme Scale cites this paper.

MicroZoom: Structure-Preserving Detail Synthesis at Extreme Scale DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 29

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no resolver link, observed 2026-07-31T06:40:45.570802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:40:45.570802Z digest=sha256:349361611b42c2c50652681e4afd4ca00841c9f9314ba6a87a60cc17609530ae

Observation d805e155-38d8-4896-b0dd-971c6723b8a2 · inbound

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models cites this paper.

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 36

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no resolver link, observed 2026-07-31T01:59:33.200136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:59:33.200136Z digest=sha256:62ccbf45ebbdfce699c8782b299cc4d26fd96587eb30ea25abffe3799f41ba73